Triple

T13718705
Position Surface form Disambiguated ID Type / Status
Subject Revolver E328968 entity
Predicate producer P490 FINISHED
Object Kane Beatz E598768 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kane Beatz | Statement: [Revolver, producer, Kane Beatz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kane Beatz
Context triple: [Revolver, producer, Kane Beatz]
  • A. Kane Beatz chosen
    Kane Beatz is an American record producer known for crafting hit hip-hop and rap tracks for major artists such as Lil Wayne, Nicki Minaj, and Trey Songz.
  • B. Kenny Beats
    Kenny Beats is an American record producer and songwriter known for his versatile work across hip-hop and alternative music, including collaborations with artists like Denzel Curry, Rico Nasty, and Vince Staples.
  • C. Swizz Beatz
    Swizz Beatz is an American record producer, rapper, and entrepreneur known for his influential work in hip-hop and collaborations with numerous major artists.
  • D. Murda Beatz
    Murda Beatz is a Canadian record producer and songwriter known for crafting trap and hip-hop hits for major artists like Migos, Drake, and Travis Scott.
  • E. Blaise Beatz
    Blaise Beatz is a Nigerian music producer known for crafting contemporary Afrobeats sounds for top artists in the scene.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd439a121c81908cae964e7756274c completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a847c4d08190b05ea525059f0465 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:55 p.m.